Machine Translation In Indian Languages

Authors

  • Chopra D Dept. of Computer Science, Banasthali Vidyapith, Newai, India
  • Joshi N Dept. of Computer Science, Banasthali Vidyapith, Newai, India
  • Mathur ITI Dept. of Computer Science, Banasthali Vidyapith, Newai, India

DOI:

https://doi.org/10.26438/ijcse/v6i8.863868

Keywords:

Machine Translation, Rule Based Approach, Example Based Approach

Abstract

Machine Translation (MT) is one of the tasks of Natural Language Processing. It can be used by intellectuals to attain information from the documents written in different languages. In the following paper, we have discussed problems faced in MT in Indian languages, various approaches of MT, limitations of some of the current existing MT Systems and the work that has been done till now in MT in Indian language perspective. We have also discussed performance metrics that are used for evaluation of MT System.

References

[1] Sinha, R. M. K., and A. Jain. "AnglaHindi: an English to Hindi machine-aided translation system." MT Summit IX, New Orleans, USA (2003): 494-497.

[2] Ramanathan, Ananthakrishnan, et al. "Simple Syntactic and Morphological Processing Can Help English-Hindi Statistical Machine Translation." IJCNLP. 2008.

[3] Sinha, R. Mahesh K., and Anil Thakur. "Machine translation of bi-lingual Hindi-English (hinglish) text." 10th Machine Translation Summit (MT Summit X), Phuket, Thailand (2005): 149-156.

[4] Ambati, Vamshi, and U. Rohini. "A hybrid approach to example-based machine translation for Indian languages." Proceedings ICON (2007).

[5] Soni A et al. (2013) “Exploring Verb Frames for Sentence Simplification in Hindi” In Proceedings of International Joint Conference on Natural Language Processing, Nagoya, Japan, 14-18 October (2013), pp-1082-1086

[6] Goyal, Vishal, and Gurpreet Singh Lehal. "Evaluation of Hindi to Punjabi machine translation system." arXiv preprint arXiv:0910.1868 (2009).

[7] Josan, Gurpreet Singh, and Gurpreet Singh Lehal. "A Punjabi to Hindi machine translation system." 22nd International Conference on Computational Linguistics: Demonstration Papers. Association for Computational Linguistics, 2008

[8] Rama, Taraka, and Karthik Gali. "Modeling machine transliteration as a phrase-based statistical machine translation problem." Proceedings of 2009 Named Entities Workshop: Shared Task on Transliteration. Association for Computational Linguistics, 2009.

[9] Poornima, C., et al. "Rule based sentence simplification for English to Tamil machine translation system." International Journal of Computer Applications 25.8 (2011): 38-42.

[10] Germann, Ulrich. "Building a statistical machine translation system from scratch: how much bang for the buck can we expect?." Proceedings of the workshop on Data-driven methods in machine translation-Volume 14. Association for Computational Linguistics, 2001.

[11] Islam, Md Zahurul, Jörg Tiedemann, and Andreas Eisele."English to Bangla phrase-based machine translation."Proceedings of the 14th Annual conference of the European Association for Machine Translation (2010).

[12] Joshi, Nisheeth, Hemant Darbari, and Iti Mathur. "Human and Automatic Evaluation of English to Hindi Machine Translation Systems."Advances in Computer Science, Engineering & Applications. Springer Berlin Heidelberg, 2012. 423-432.

Downloads

Published

2025-11-15
CITATION
DOI: 10.26438/ijcse/v6i8.863868
Published: 2025-11-15

How to Cite

[1]
D. Chopra, N. Joshi, and I. Mathur, “Machine Translation In Indian Languages”, Int. J. Comp. Sci. Eng., vol. 6, no. 8, pp. 863–868, Nov. 2025.

Issue

Section

Research Article